Lars Andersen, 21st July 2023 @useR!2023 Basel
Any opinions expressed in this presentation and on the following slides are solely those of the presenter and do not necessarily reflect those of BI
is a framework to quantify an R package’s “risk” by assessing several meaningful metrics designed to evaluate package development best practices, code documentation, community engagement, and development sustainability.
is a full-fledged R package containing a shiny front-end that augments the utility of riskmetric. The application’s goal is to provide a central hub for an organization to review and assess the risk of R packages, providing handy tools and guide rails along the way.
riskmetric output without the need to write R coderiskmetric on the same machine with the same environment – creating central hub for reproducibility of risk scoresriskmetric scoresin it’s early stages, a new data package the R Validation Hub is working on, that contains the riskmetric scores for all pkgs on CRAN.
include GSK’s code to manually navigate the actual package contents (e.g. browse the robustness of tests written for each function).